code: def bin_sparse_train_data(bin_dense_train_data):
      bin_dense, bin_target = bin_dense_train_data
      bin_csr = sp.csr_matrix(bin_dense)
      return bin_csr, bin_target
  
file_path: lightning/lightning/impl/tests/conftest.py
imports: import pytest
  import scipy.sparse
  from sklearn.datasets import load_iris
  from lightning.impl.datasets.samples_generator import make_classification
label_desc: Use image node_id 4 for calling a global function with example usage: bin_sparse_train_data(bin_dense_train_data) and returns: bin_csr,  bin_target